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» An objective approach to cluster validation
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SCVMA
2004
Springer
15 years 3 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
WWW
2005
ACM
15 years 11 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
15 years 7 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
CVPR
2007
IEEE
16 years 11 days ago
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
Derek Hoiem, Carsten Rother, John M. Winn
CCIA
2009
Springer
14 years 8 months ago
Patch Growing: Object segmentation using spatial coherence of local patches
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional Topdown or Bottom-up ap...
Marc Masias, Albert Torrent, Xavier Lladó, ...